Eric C. Frey
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- Medical Imaging Techniques and Applications 189
- Radiopharmaceutical Chemistry and Applications 58
- Advanced MRI Techniques and Applications 46
- Radiomics and Machine Learning in Medical Imaging 34
- Radiation Dose and Imaging 31
- Cardiac Imaging and Diagnostics 25
- Radiation top 0.2%
- Advanced Radiotherapy Techniques 49
- Biomedical Engineering top 1%
- Advanced X-ray and CT Imaging 91
- Hepatology top 5%
- Co-authors
- B.M.W. TsuiYong DuW. Paul SegarsMichael LjungbergBin HeGeorge SgourosKatsuyuki TaguchiYuni K. Dewaraja
- Journals
- Physics in Medicine and Biology (33 papers)Medical Physics (24 papers)IEEE Transactions on Nuclear Science (15 papers)
- Partner nations
- United StatesSwedenThailand
In The Last Decade
Eric C. Frey
229 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Radiology, Nuclear Medicine and Imaging 5.1k
- Radiation 1.6k
- Biomedical Engineering 2.3k
- Pulmonary and Respiratory Medicine 907
- Hepatology 167
Countries citing papers authored by Eric C. Frey
This map shows the geographic impact of Eric C. Frey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric C. Frey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric C. Frey more than expected).
Fields of papers citing papers by Eric C. Frey
This network shows the impact of papers produced by Eric C. Frey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric C. Frey. The network helps show where Eric C. Frey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric C. Frey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 7 | |
| 11 | Medical Image Segmentation via Unsupervised Convolutional Neural Network | 2020 | 1 |
| 12 | 2018 | 19 | |
| 13 | 2016 | 3 | |
| 14 | 2015 | 11 | |
| 15 | 2011 | 128 | |
| 16 | 2011 | 24 | |
| 17 | 2010 | 22 | |
| 18 | 2009 | 79 | |
| 19 | 2003 | 62 | |
| 20 | Micro-SPECT | 2002 | 8 |
About Eric C. Frey
Eric C. Frey is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering, having authored 239 papers that have together received 6.0k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (189 papers), Advanced X-ray and CT Imaging (91 papers), Radiopharmaceutical Chemistry and Applications (58 papers), Advanced Radiotherapy Techniques (49 papers), Advanced MRI Techniques and Applications (46 papers), Radiomics and Machine Learning in Medical Imaging (34 papers), Radiation Dose and Imaging (31 papers) and Cardiac Imaging and Diagnostics (25 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (5.1k citations), Radiation (1.6k citations) and Biomedical Engineering (2.3k citations). Eric C. Frey has collaborated with scholars based in United States, Sweden and Thailand. Frequent co-authors include B.M.W. Tsui, Yong Du, W. Paul Segars, Michael Ljungberg, Bin He, George Sgouros, Katsuyuki Taguchi, Yuni K. Dewaraja, Xiaolan Wang and Richard L. Wahl. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, IEEE Transactions on Nuclear Science, IEEE Transactions on Medical Imaging and Journal of Nuclear Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.